activity
20202023
most citedOn the Opportunities and Risks of Foundation Models

2.3k citations · 2.3k across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2023

Differentially Private Video Activity Recognition

Zelun Luo, Yuliang Zou, Yijin Yang +6

In recent years, differential privacy has seen significant advancements in image classification; however, its application to video activity recognition remains under-explored. This…

cs.CV2023★ 1 cited

HomE: Homography-Equivariant Video Representation Learning

Anirudh Sriram, Adrien Gaidon, Jiajun Wu +3

Recent advances in self-supervised representation learning have enabled more efficient and robust model performance without relying on extensive labeled data. However, most works a…

cs.CV2022

Revisiting the "Video" in Video-Language Understanding

Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon +3

What makes a video task uniquely suited for videos, beyond what can be understood from a single image? Building on recent progress in self-supervised image-language models, we revi…

cs.CV2022★ 28 cited

PrivHAR: Recognizing Human Actions From Privacy-preserving Lens

Carlos Hinojosa, Miguel Marquez, Henry Arguello +3

The accelerated use of digital cameras prompts an increasing concern about privacy and security, particularly in applications such as action recognition. In this paper, we propose…

cs.LG2021★ 2.3k cited

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli +111

AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.…

cs.LG2021★ 12 cited

Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning

Liangqiong Qu, Yuyin Zhou, Paul Pu Liang +5

Federated learning is an emerging research paradigm enabling collaborative training of machine learning models among different organizations while keeping data private at each inst…

cs.LG2021★ 2 cited

Metadata Normalization

Mandy Lu, Qingyu Zhao, Jiequan Zhang +4

Batch Normalization (BN) and its variants have delivered tremendous success in combating the covariate shift induced by the training step of deep learning methods. While these tech…

cs.CV2020★ 9 cited

Vision-based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity

Mandy Lu, Kathleen Poston, Adolf Pfefferbaum +5

Parkinson's disease (PD) is a progressive neurological disorder primarily affecting motor function resulting in tremor at rest, rigidity, bradykinesia, and postural instability. Th…